Sigmabrain is not a legal research tool and not a contract drafter. It's the knowledge layer over your firm's OWN files. Here is exactly where the market leaders are better — and where we are.
Snapshot: June 2026. Third-party data from public sources (linked below). Prices marked “individual” are not published by the vendor.
If you need any of the following as your primary tool, buy it from the companies below — they are genuinely good at it: legal research against case-law databases (CoCounsel/Westlaw, Lexis+ AI, vLex, Beck-Noxtua/beck-online), contract drafting and redlining (Harvey, Legora, Spellbook in Word), M&A due-diligence workflows (Luminance, Harvey). Sigmabrain answers a different question: what does YOUR firm already know — across matters, emails, memos and meetings — with citations and explicit gaps.
Harvey, Legora, CoCounsel (Thomson Reuters), Beck-Noxtua, Luminance — against the knowledge layer.
| Feature | Sigmabrain | Harvey | Legora | CoCounsel | Beck-Noxtua | Luminance |
|---|---|---|---|---|---|---|
| Legal research w/ case-law database | none — not our category | (LexisNexis partnership) | Ja | Westlaw — category leader | beck-online, German law | contract focus |
| Drafting / contract redlining | Nein | Ja | Ja | Ja | Ja | (contracts) |
| Legal-specific model / training | general LLMs via API | Ja | Ja | Ja | own German legal AI | Ja |
| Public legal benchmark (Vals VLAIR) | not tested — retrieval benchmarks only | top scores | n/a | top scores | n/a | n/a |
| Q&A over your own documents, cited | page-level citations | Ja | Ja | Ja | Ja | Ja |
| Cross-matter contradiction surfacing | Dream Cycle, automatic | n/a | n/a | n/a | n/a | in contract review |
| Typed knowledge graph over your data | extracted on every write | n/a | n/a | Nein | n/a | Nein |
| Gap analysis (“what's NOT in the file”) | in every answer | n/a | n/a | n/a | n/a | n/a |
| Beyond legal (deals, clients, firm memory) | cross-domain by design | legal-focused | Nein | Nein | Nein | Nein |
| Compounding firm brain (learns from every matter) | your brain knows every case you've run | n/a | n/a | n/a | n/a | n/a |
| Self-hosting / on-premise option | full engine on your hardware | cloud | cloud | cloud | sovereign EU cloud, no self-host | on-premise offered |
| No training on your data | never trains shared models | n/a | n/a | n/a | n/a | n/a |
| Published entry price | €299/seat/mo (Starter, monthly) · €690/seat/mo (Professional, annual) | individual (reports: ~$1,200/seat/mo, 20+ seats) | individual | from ~$639/user/mo incl. Westlaw (public configurator) | individual (min. 3 licenses) | individual (reports: $50k+/yr small teams) |
| Seat minimum | from 1 (Starter) | 20–50 (reports) | n/a | solo plans exist | 3 licenses | n/a |
Legal research w/ case-law database
Drafting / contract redlining
Legal-specific model / training
Public legal benchmark (Vals VLAIR)
Q&A over your own documents, cited
Cross-matter contradiction surfacing
Typed knowledge graph over your data
Gap analysis (“what's NOT in the file”)
Beyond legal (deals, clients, firm memory)
Compounding firm brain (learns from every matter)
Self-hosting / on-premise option
No training on your data
Published entry price
Seat minimum
The questions a DACH/EU firm's IT and data-protection officer ask first — and where Sigmabrain already has a shipped answer.
| Feature | Sigmabrain | Harvey | CoCounsel | Beck-Noxtua | Glean |
|---|---|---|---|---|---|
| EU AI Act Art. 50 — AI output labeled (visible + machine-readable) | badge + frontmatter + X-AI-Generated header | n/a | n/a | n/a | n/a |
| Four-eyes / human approval gate for agent actions | approval queue, documented reason | n/a | n/a | n/a | n/a |
| Source-coverage / hallucination-caution badge on answers | grounded / partial / unsupported | n/a | n/a | n/a | n/a |
| GoBD building blocks (10-yr retention stamp, tamper-evidence, Verfahrensdoku) | for tax vertical — building blocks, not a “audit-proof” claim | not a tax tool | Nein | Nein | Nein |
| DACH legal interfaces (beA drafts, RVG, conflict check, RIS/openlegaldata) | native | Nein | Nein | German law focus | Nein |
| MFA / 2FA (TOTP) for the dashboard | built in | n/a | n/a | n/a | via SSO/IdP |
| Team / org model with roles & invites | org entity, member/admin/owner | n/a | n/a | n/a | enterprise admin console |
| GDPR Art. 20 data export (account + brain, JSON) | one click | n/a | n/a | n/a | n/a |
| SSO (SAML/OIDC) + SCIM | on the roadmap (WorkOS path) | Ja | Ja | n/a | category standard |
| SOC 2 / ISO 27001 certification | not yet — self-host compensates | n/a | (Thomson Reuters) | n/a | Ja |
EU AI Act Art. 50 — AI output labeled (visible + machine-readable)
Four-eyes / human approval gate for agent actions
Source-coverage / hallucination-caution badge on answers
GoBD building blocks (10-yr retention stamp, tamper-evidence, Verfahrensdoku)
DACH legal interfaces (beA drafts, RVG, conflict check, RIS/openlegaldata)
MFA / 2FA (TOTP) for the dashboard
Team / org model with roles & invites
GDPR Art. 20 data export (account + brain, JSON)
SSO (SAML/OIDC) + SCIM
SOC 2 / ISO 27001 certification
Glean and Notion AI organize company knowledge — the closest neighbors to what Sigmabrain actually does.
| Feature | Sigmabrain | Glean | Notion AI |
|---|---|---|---|
| Q&A over company knowledge, cited | + explicit gap analysis | Ja | within Notion content |
| Knowledge graph | typed edges (invested_in, works_at, …), queryable | enterprise graph (people, docs, activity) | Nein |
| SaaS connectors (Slack, Jira, Drive, …) | folders, email, MCP, API — no 100+ connector catalog | 100+ connectors — category leader | Notion ecosystem |
| Document ingestion (PDF, DOCX, EML, XLSX, audio) | native, incl. scanned-PDF OCR fallback | via connectors | imports |
| Self-hosting / on-premise | full engine on your hardware | SaaS-only | SaaS-only |
| No training on your data | never trains shared models | n/a | n/a |
| Entry price & minimum | €299/seat/mo Starter · €690 Professional, from 1 seat | $50/user/mo, ~100-seat minimum (reports: ~$60k/yr entry) | $10/user/mo add-on |
Q&A over company knowledge, cited
Knowledge graph
SaaS connectors (Slack, Jira, Drive, …)
Document ingestion (PDF, DOCX, EML, XLSX, audio)
Self-hosting / on-premise
No training on your data
Entry price & minimum
The three biggest AI chat tools against the knowledge layer over your own data.
| Feature | Sigmabrain | ChatGPT | Codex | Claude |
|---|---|---|---|---|
| Knows your documents & case files | reads your files, builds a brain | starts at zero, doesn't know your firm | code-focused, no case files | starts at zero, no persistent files |
| Answers with citations (page-level) | deterministic, clickable | hallucinates sources | no source attribution | hallucinates sources |
| Gap analysis (what the brain does NOT know) | in every answer | Nein | Nein | Nein |
| Knowledge graph with typed edges | extracted on every write | no graph | no graph | no graph |
| Persistent memory (across sessions) | knowledge compounds | forgets when you close the chat | no persistent memory | limited project memory |
| Dream Cycle (24/7 background agent) | dedupes, fixes citations, finds contradictions | sleeps | Nein | Nein |
| Desktop app (offline-capable) | Tauri with embedded engine | web app installable | web-only | web-only |
| Self-hosting / on-premise | full engine on your hardware | US cloud only | cloud only | cloud only |
| EU data residency (GDPR) | EU cloud or self-hosted | US servers | US servers | US servers |
| Does NOT train on your data | never | trains on your chats by default | trains on your inputs | opt-out available |
| Per-user access control | fuzz-tested, zero leaks | no access control | no access control | no access control |
| Agent system (Skills, Eval, Workspaces) | full agent framework | GPTs (limited) | code agent (limited) | Computer Use (limited) |
| MCP server | native | Nein | Nein | Ja |
| DACH compliance (§ 203, GoBD, EU AI Act) | built for DACH/EU | Nein | Nein | Nein |
| Pricing model | from €299/seat/mo, from 1 seat | from $20/mo (Plus) | from $20/mo (Plus) | from $20/mo (Pro) |
Knows your documents & case files
Answers with citations (page-level)
Gap analysis (what the brain does NOT know)
Knowledge graph with typed edges
Persistent memory (across sessions)
Dream Cycle (24/7 background agent)
Desktop app (offline-capable)
Self-hosting / on-premise
EU data residency (GDPR)
Does NOT train on your data
Per-user access control
Agent system (Skills, Eval, Workspaces)
MCP server
DACH compliance (§ 203, GoBD, EU AI Act)
Pricing model
Both offer on-premise. The difference is what gets indexed and how citations work.
| Feature | Sigmabrain | Luminance |
|---|---|---|
| Primary use case | Knowledge layer over YOUR files, emails, notes | Contract review & due diligence |
| On-premise / self-hosting | full engine on your hardware | on-premise offered |
| What gets indexed | All firm knowledge — matters, clients, deals, emails, memos | Contracts and due-diligence documents |
| Citation granularity | page-level, deterministic, verifiable | clause-level in contracts |
| Cross-matter contradiction surfacing | Dream Cycle, automatic | within contract review |
| Typed knowledge graph | extracted on every write | contract-focused, no cross-domain graph |
| Gap analysis (“what's NOT in the file”) | in every answer | n/a |
| Beyond legal (deals, clients, firm memory) | cross-domain by design | legal/contract focus |
| WhatsApp copilot | native | Nein |
| Published entry price | €299/seat/mo (Starter, monthly) | individual (reports: $50k+/yr small teams) |
| Seat minimum | from 1 (Starter) | n/a |
Primary use case
On-premise / self-hosting
What gets indexed
Citation granularity
Cross-matter contradiction surfacing
Typed knowledge graph
Gap analysis (“what's NOT in the file”)
Beyond legal (deals, clients, firm memory)
WhatsApp copilot
Published entry price
Seat minimum
Both build memory layers for AI. The difference is architecture: knowledge graph vs. vector-only, self-hosted vs. cloud-only.
| Feature | Sigmabrain | Supermemory |
|---|---|---|
| Core architecture | Knowledge graph + hybrid search (keyword + vector) | Vector store + embeddings |
| Entity graph & relations | typed entities, relations, confidence scoring | flat memory items, no graph |
| Self-hosting / on-premise | full engine on your hardware | self-hostable but primarily cloud SaaS |
| Dream cycle / idle consolidation | offline dreaming: consolidates, deduplicates, links memories | “dreaming” feature announced, limited |
| Citations & gap display | page-level citations + explicit knowledge gaps | no gap display |
| Agent-generated facts pipeline | agent runs → brain pages with extracted facts | no agent pipeline |
| Mem0/Zep API compatibility | drop-in compatible SDK | proprietary API only |
| LongMemEval benchmark | 100% Recall@K published | n/a |
| Desktop app (offline) | Tauri app with embedded engine | browser-only |
| Pricing model | per-seat, from 1 seat | per-request or subscription |
Core architecture
Entity graph & relations
Self-hosting / on-premise
Dream cycle / idle consolidation
Citations & gap display
Agent-generated facts pipeline
Mem0/Zep API compatibility
LongMemEval benchmark
Desktop app (offline)
Pricing model
Because we publish the rows we lose: no legal research, no drafting, no legal benchmark participation, fewer connectors than Glean. Every third-party claim links to a public source, unknowns are marked “n/a” instead of guessed, and we publish corrections.
Only if what you actually need is the knowledge layer, not the legal workspace. Many firms will run both: Harvey/Noxtua for research and drafting, Sigmabrain as the queryable memory over their own matters. We replace neither Westlaw nor a lawyer.
Because they run on someone else's cloud and someone else's model, and they index licensed case law. Subsumio indexes YOUR matters and runs on infrastructure you control — self-hosted or EU cloud — with a WhatsApp copilot your lawyers use daily. Same calibre of synthesis, your jurisdiction, your data. The honest catch, stated above: we don't do legal research.
Correct — and we say so in the table. The difference: with Subsumio it's your own matter files made answerable, on your own hardware, with deterministic page-level citations your IT can verify.
All third-party information from public sources as of June 2026, linked below; no guarantee of completeness. Vendors change pricing and features — corrections welcome at hello@sigmabrain.com and will be published.
Import one closed matter and ask the first question. If it doesn't convince you, you've lost an afternoon — not a six-figure contract.
Test it on your own files